Cover Image

Cryo-EM as a Stochastic Inverse Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Espinosa, Diego Sanchez, Thiede, Erik H, Yang, Yunan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Numerical Analysis Optimization and Control Data Analysis, Statistics and Probability 65M32, 49Q22, 65M75, 65K10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Differential-Equation Constrained Optimization With Stochasticity
by: Li, Qin, et al.
Published: (2023)

Inverse Problems Over Probability Measure Space
by: Li, Qin, et al.
Published: (2025)

An adaptive dynamical low-rank optimizer for solving kinetic parameter identification inverse problems
by: Baumann, Lena, et al.
Published: (2025)

A supervised learning scheme for computing Hamilton-Jacobi equation via density coupling
by: Cui, Jianbo, et al.
Published: (2024)

A nonsmooth primal-dual method with interwoven PDE constraint solver
by: Jensen, Bjørn, et al.
Published: (2022)

Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint
by: Sanz-Alonso, Daniel, et al.
Published: (2024)

Reconstructing the dielectric properties of melanoma in 3D using real-life melanoma model
by: Kyhn, Georg, et al.
Published: (2025)

Finite element 3D models of melanoma growth and time-dependent backscattered data for dielectric properties of melanoma at 6 GHz
by: Lindström, Eric, et al.
Published: (2025)

Discrete-to-continuum limits of optimal transport with linear growth on periodic graphs
by: Portinale, Lorenzo, et al.
Published: (2023)

Variational optimization approach for reconstruction of dielectric permittivity and conductivity functions using partial boundary measurements
by: Lindström, Eric, et al.
Published: (2026)

New Error Estimates for An Elliptic Distributed Optimal Control Problem with Pointwise Control Constraints
by: Brenner, Susanne C., et al.
Published: (2024)

A New Error Analysis for Finite Element Methods for Elliptic Neumann Boundary Control Problems with Pointwise Control Constraints
by: Brenner, Susanne C., et al.
Published: (2024)

Low-rank variance reduction for uncertain radiative transfer with control variates
by: Patwardhan, Chinmay, et al.
Published: (2025)

Level-set shape optimization via polytopic discontinuous Galerkin methods
by: Fernandes, Raphael S., et al.
Published: (2024)

Reconstruction of source function in a parabolic equation using partial boundary measurements
by: Sharma, T., et al.
Published: (2025)

An energy stable and conservative multiplicative dynamical low-rank discretization for the Su-Olson problem
by: Baumann, Lena, et al.
Published: (2025)

Efficient preconditioners for solving dynamical optimal transport via interior point methods
by: Facca, Enrico, et al.
Published: (2022)

Inference of interacting kernel in the mean-field regime
by: Chen, Peiyi, et al.
Published: (2026)

Stochastic homogenisation of nonlinear minimum-cost flow problems
by: Gladbach, Peter, et al.
Published: (2024)

Discretization of Total Variation in Optimization with Integrality Constraints
by: Schiemann, Annika, et al.
Published: (2024)

Unique reconstruction for discretized inverse problems: a random sketching approach via subsampling
by: Jin, Ruhui, et al.
Published: (2024)

A Mollification Approach to Ramified Transport and Tree Shape Optimization
by: Bressan, Alberto, et al.
Published: (2026)

Stochastic Multiresolution Image Sketching for Inverse Imaging Problems
by: Perelli, Alessandro, et al.
Published: (2024)

Numerical reconstructions of a source term in a mobile-immobile diffusion model from the partial interior observation
by: Yang, Zhiwei, et al.
Published: (2025)

A space-time interface-fitted method for moving-subdomain distributed control problems with energy regularization
by: Nguyen, Quang Huy, et al.
Published: (2025)

Mean field games master equations: from discrete to continuous state space
by: Bertucci, Charles, et al.
Published: (2022)

Cavity shape reconstruction with a homogeneous Robin condition via a constrained coupled complex boundary method with ADMM
by: Essahraoui, Mustapha, et al.
Published: (2026)

Enhanced shape recovery in advection--diffusion problems via a novel ADMM-based CCBM optimization
by: Cherrat, Elmehdi, et al.
Published: (2025)

Medical Image Registration using optimal control of a linear hyperbolic transport equation with a DG discretization
by: Zapf, Bastian, et al.
Published: (2023)

Fast numerical solvers for parameter identification problems in mathematical biology
by: Benková, Karolína, et al.
Published: (2024)

Riemannian Bilevel Optimization with Gradient Aggregation
by: Chen, Zhuo, et al.
Published: (2025)

Solving Semi-Discrete Optimal Transport Problems: star shapedeness and Newton's method
by: Dieci, Luca, et al.
Published: (2023)

Automatic nonstationary anisotropic Tikhonov regularization through bilevel optimization
by: Gazzola, Silvia, et al.
Published: (2024)

Nonlinear Methods for Shape Optimization Problems in Liquid Crystal Tactoids
by: Adler, James H., et al.
Published: (2023)

On the Convergence of Jacobian-Free Backpropagation for Optimal Control Problems with Implicit Hamiltonians
by: Gelphman, Eric, et al.
Published: (2026)

Dropout Ensemble Kalman inversion for high dimensional inverse problems
by: Liu, Shuigen, et al.
Published: (2023)

Gradient enhanced ADMM Algorithm for dynamic optimal transport on surfaces
by: Dong, Guozhi, et al.
Published: (2024)

Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems
by: Buser, Elle, et al.
Published: (2025)

A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation
by: Buser, Elle, et al.
Published: (2026)

Tikhonov Regularization Within Ensemble Kalman Inversion
by: Chada, Neil K., et al.
Published: (2019)